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Staff Data Scientist

GoFundMe

$166,500 - $249,500
Aug 21, 2025
San Francisco, CA, US
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GoFundMe is looking for a Staff Data Scientist to strengthen their marketing data science and analytics initiatives and enhance data science operations throughout the company, aiming to make a significant impact for both users and the business.

Requirements

  • Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, performance tuning).
  • Hands-on experience designing, analyzing, and interpreting A/B tests and experimentation frameworks.
  • Expertise in statistical inference, causal modeling (regression, propensity scoring), uplift modeling, and marketing attribution models (multi-touch attribution, Markov chains).
  • Proven track record in time-series forecasting and budget allocation models.
  • Familiarity with ETL frameworks, data warehousing, and APIs; hands-on experience with Databricks and Snowflake is a plus.
  • Data visualization skills using Looker or equivalent BI tools; strong storytelling and presentation abilities.
  • Version control proficiency (Git) and collaborative coding workflows.

Responsibilities

  • Lead end-to-end data science projects: gather requirements, perform feature engineering, model development, validation, and deployment.
  • Define and promote technical best practices in tools, systems, and processes (e.g., model versioning, scalable pipelines, experimentation frameworks).
  • Drive R&D initiatives: explore novel modeling approaches, assess emerging techniques, and prototype innovative solutions for marketing challenges.
  • Build, monitor, and report on key marketing KPIs; develop dashboards and present emerging trends and strategic recommendations to senior leadership.
  • Apply advanced analytical techniques: A/B testing, causal inference, uplift modeling, clustering, time-series forecasting to solve high-impact marketing challenges.
  • Partner with Product, Growth, Finance, and Engineering teams to identify and prioritize new analytics opportunities that drive user acquisition and revenue.
  • Develop forecasting and ROI models to optimize budget allocation and inform roadmap prioritization.

Other

  • 8+ years in data science roles with a strong focus on marketing or growth analytics.
  • Exceptional communication skills: able to influence non-technical stakeholders and present complex analyses to executive audiences.
  • Demonstrated ability to define technical strategy, elevate team practices, and drive high-impact initiatives.
  • Experience mentoring and developing junior data professionals.
  • Candidates considered for this role will be located in the following location: San Francisco Bay Area, CA